Mika Hämäläinen

33 papers and 95 indexed citations i.

About

Mika Hämäläinen is a scholar working on Artificial Intelligence, Sociology and Political Science and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Mika Hämäläinen has authored 33 papers receiving a total of 95 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 10 papers in Sociology and Political Science and 5 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Mika Hämäläinen’s work include Natural Language Processing Techniques (15 papers), Topic Modeling (14 papers) and Doping in Sports (8 papers). Mika Hämäläinen is often cited by papers focused on Natural Language Processing Techniques (15 papers), Topic Modeling (14 papers) and Doping in Sports (8 papers). Mika Hämäläinen collaborates with scholars based in Finland, United Kingdom and United States. Mika Hämäläinen's co-authors include Khalid Alnajjar, Silvia Camporesi, Jack Rueter, Niko Partanen, Tanja Säily, Eetu Mäkelä, Shuo Zhang, Timo Honkela, Andrew Bloodworth and Jörg Tiedemann and has published in prestigious journals such as European Journal of Sport Science, Language Resources and Evaluation and Bioethics.

In The Last Decade

Co-authorship network of co-authors of Mika Hämäläinen i

Fields of papers citing papers by Mika Hämäläinen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mika Hämäläinen. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mika Hämäläinen. The network helps show where Mika Hämäläinen may publish in the future.

Countries citing papers authored by Mika Hämäläinen

Since Specialization
Citations

This map shows the geographic impact of Mika Hämäläinen's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mika Hämäläinen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mika Hämäläinen more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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